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Li Feng; Xiaoqing Shen; Zhaoyuan Xie; Xiaohui Yan – Education and Information Technologies, 2025
Gamification mechanisms have been increasingly integrated into educational environments to enhance learner's engagement and improve the effectiveness of online courses. However, the precise effects of gamification on learner's engagement, including the factors that influence this behavior, remain under-explored. This study addresses this gap by…
Descriptors: Gamification, Electronic Learning, Learner Engagement, Student Motivation
Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
Yue Li – Education & Training, 2024
Purpose: This paper aims to investigate the effects of four types of cyber entrepreneurship courses on entrepreneurial self-efficacy (ESE) and intention. It is based on Social Cognitive Theory and Regulatory Focus Theory, which takes Chinese college students as the research objects. Design/methodology/approach: Approximately 101 senior business…
Descriptors: Entrepreneurship, Business Education, Electronic Learning, College Students
Venisha Jenifer Dmello; Vadiraj Jagannathrao; Ambigai Rajendran; Shilpa Badrinath Bidi; Tathagata Ghosh; Jaspreet Kaur; Kavitha Haldorai – Cogent Education, 2023
Despite the massive growth and benefits of online learning platforms, engaging and retaining learners showcases a major challenge in the present scenario. There is a dearth of literature on measuring the antecedent factors of learner engagement behavior through mediating effect in the online learning context. Therefore, the current study was…
Descriptors: Electronic Learning, Learner Engagement, Student Behavior, Intention
Lisana Lisana; Edwin Pramana – International Journal on E-Learning, 2025
This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…
Descriptors: Foreign Countries, College Students, Electronic Learning, Higher Education
Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
Mbonisi Maku; Ernest Nikisi; Omobayo Ayokunle Esan; Munienge Mbodila; Patrick Bwowe – International Journal of Education and Development using Information and Communication Technology, 2025
The rapid growth in information communication technology (ICT) usage has brought remarkable changes in higher education. Many higher education institutions around the globe are adopting e-learning platforms as one of the primary ways of delivering teaching and learning among students. During the COVID-19 pandemic, South African higher education…
Descriptors: Foreign Countries, Electronic Learning, Disadvantaged Schools, Universities
Hang Wang; Xiaorong Hou; Jiaxiu Liu; Xiaoyu Zhou; Mengyao Jiang; Jing Liao – Education and Information Technologies, 2025
The purpose of this study was to explore the factors of college students' learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students…
Descriptors: Academic Achievement, Learning Motivation, College Students, Intention
XingZhong Cao; JianWu He; GuoMin Chen – SAGE Open, 2025
This research investigates the factors and configurations influencing the intention of primary and secondary school students to use online education. Employing the Technology Acceptance Model (TAM), the research framework incorporates considerations of external environmental factors, extending the model. Methodologically, Structural Equation…
Descriptors: Elementary School Students, Secondary School Students, Distance Education, Electronic Learning
Samuel Nii Boi Attuquayefio; David Aboagye-Darko; Amanda Quist Okronipa – International Journal of Educational Management, 2025
Purpose: Through the lens of the information systems success model, self-determination theory, and TAM2, this study proposes and tests an integrative model to investigate students' satisfaction with the use of e-learning systems in higher education institutions in a developing country context. Design/methodology/approach: This study adopted a…
Descriptors: Student Satisfaction, Electronic Learning, Learning Management Systems, Developing Nations
Oluwajana, Dokun; Adeshola, Ibrahim – Education and Information Technologies, 2021
The support for the use of Computer-Supported Collaborative Learning is a sign of contributions and support for in-class and out-of-class learning. This study investigates the perspective of student's digital multi-modal literacy on student's behavioral intention to use a CSCL. We proposed a theoretical model that examines student perspectives on…
Descriptors: Student Attitudes, Multiple Literacies, Student Behavior, Intention
Kai Wang; Josep Rialp Criado; Stefan Felix van Hemmen – Asia-Pacific Education Researcher, 2024
This paper addresses undergraduates' perception and behavioral intention (BI) toward Massive open online courses (MOOCs). It considers the moderating effect of culture to further explore the perceptions of students with different cultures to engage in MOOCs, providing MOOC suppliers with practical suggestions. 770 undergraduates in Spain and China…
Descriptors: Student Attitudes, Student Behavior, Intention, MOOCs
Mavis S. B. Mensah; Keren N. A. Arthur; Enoch Mensah-Williams – E-Learning and Digital Media, 2024
This study examines the factors that influence the intention and actual use of e-learning in entrepreneurship education by undergraduate students. The paper relies on a predictive study design and the partial least squares structural equation modelling to analyse data from a cluster sample of 599 students from the University of Cape Coast, Ghana.…
Descriptors: Entrepreneurship, Undergraduate Students, Electronic Learning, Foreign Countries
Shiya Chen; Lu Huang; Rustam Shadiev; Peiying Hu – Education and Information Technologies, 2025
The introduction of online homework has revolutionized traditional assignment formats, providing students with access to abundant learning resources, a convenient platform for completing assignments, real-time interactive learning opportunities, and accurate feedback. However, there is a paucity of research exploring the perspectives of elementary…
Descriptors: Elementary School Students, Student Attitudes, Intention, Electronic Learning
Bagdi, Himanshu; Bulsara, Hemantkumar P.; Sankar, Deepthi; Sharma, Latika – International Journal of Educational Management, 2023
Purpose: This study aims to identify factors affecting Generation Z (Gen-Z)'s online learning (OL) behavioural intention (BI) using the extended technology acceptance model by investigating gender differences in the BI of Indian students to adopt OL. Design/methodology/approach: The proposed model was tested on 284 students from a higher education…
Descriptors: Age Groups, Electronic Learning, Student Behavior, Gender Differences

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